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Publications in Math-Net.Ru
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On the achievable level of accuracy in solving abstract ill-posed problems and nonlinear operator equations in Banach space
Izv. Vyssh. Uchebn. Zaved. Mat., 2022, no. 3, 21–27
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Computing magnifier for refining the position and shape of three-dimensional objects in acoustic sensing
Matem. Mod., 34:5 (2022), 3–26
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Fast solution algorithm for a three-dimensional inverse multifrequency problem of scalar acoustics with data in a cylindrical domain
Zh. Vychisl. Mat. Mat. Fiz., 62:2 (2022), 289–304
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Numerical solution of an inverse multifrequency problem in scalar acoustics
Zh. Vychisl. Mat. Mat. Fiz., 60:6 (2020), 1013–1026
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Direct and converse theorems for iterative methods of solving irregular operator equations and finite difference methods for solving ill-posed Cauchy problems
Zh. Vychisl. Mat. Mat. Fiz., 60:6 (2020), 939–962
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Numerical solution to a three-dimensional coefficient inverse problem for the wave equation with integral data in a cylindrical domain
Sib. Zh. Vychisl. Mat., 22:4 (2019), 381–397
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Low-cost numerical method for solving a coefficient inverse problem for the wave equation in three-dimensional space
Zh. Vychisl. Mat. Mat. Fiz., 58:4 (2018), 561–574
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Iteratively regularized Gauss–Newton method for operator equations with normally solvable derivative at the solution
Izv. Vyssh. Uchebn. Zaved. Mat., 2016, no. 8, 3–11
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Iterative methods of stochastic approximation for solving non-regular nonlinear operator equations
Zh. Vychisl. Mat. Mat. Fiz., 55:10 (2015), 1637–1645
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New a posteriori error estimates for approximate solutions to iregular operator equations
Num. Meth. Prog., 15:2 (2014), 359–369
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On a complete discretization scheme for an ill-posed Cauchy problem in a Banach space
Trudy Inst. Mat. i Mekh. UrO RAN, 18:1 (2012), 96–108
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On a class of finite-difference schemes for solving ill-posed Cauchy problems in Banach spaces
Zh. Vychisl. Mat. Mat. Fiz., 52:3 (2012), 483–498
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Convergence rate estimation for finite-difference methods
of solving the ill-posed Cauchy problem for second-order
linear differential equations in a Banach space
Num. Meth. Prog., 11:1 (2010), 25–31
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A rate of convergence and error estimates for difference methods used to approximate solutions to ill-posed Cauchy problems in a Banach space
Num. Meth. Prog., 7:2 (2006), 163–171
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Continuous methods for stable approximation of solutions to nonlinear equations in the Banach space based on the regularized Newton–Kantarovich scheme
Sib. Zh. Vychisl. Mat., 7:1 (2004), 1–12
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An iteratively regularized gradient method for solving nonlinear irregular equations
Zh. Vychisl. Mat. Mat. Fiz., 44:5 (2004), 805–811
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Stable gradient design method for inverse problem of gravimetry
Matem. Mod., 15:7 (2003), 37–45
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On some inverse problem for a three-dimensional wave equation
Zh. Vychisl. Mat. Mat. Fiz., 43:8 (2003), 1201–1209
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Iterative Newton-type methods with projecting for solution of nonlinear ill-posed operator equations
Sib. Zh. Vychisl. Mat., 5:2 (2002), 101–111
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Convergence rate of iterative regularization algorithms for linear problems with convex constraints
Zh. Vychisl. Mat. Mat. Fiz., 42:7 (2002), 933–936
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On iterative methods of gradient type for solving nonlinear ill-posed equations
Sib. Zh. Vychisl. Mat., 4:4 (2001), 317–329
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Conditions of sourcewise representation and rates of convergence of methods for solving ill-posed operator equations. Part II
Num. Meth. Prog., 2:1 (2001), 65–91
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Conditions of sourcewise representation and rates of convergence of methods for solving ill-posed operator equations. Part I
Num. Meth. Prog., 1:1 (2000), 62–82
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Gradient-type iterative methods with projection onto a fixed subspace for solving irregular operator equations
Zh. Vychisl. Mat. Mat. Fiz., 40:10 (2000), 1447–1450
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Necessary conditions for the convergence of iterative methods for solving irregular nonlinear operator equations
Zh. Vychisl. Mat. Mat. Fiz., 40:7 (2000), 986–996
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Iterative regularization algorithms for monotone variational inequalities
Zh. Vychisl. Mat. Mat. Fiz., 39:4 (1999), 553–560
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Iterative methods of gradient type of irregular operator equations
Zh. Vychisl. Mat. Mat. Fiz., 38:12 (1998), 1962–1966
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On the rate of convergence of iterative processes for nonlinear operator equations
Zh. Vychisl. Mat. Mat. Fiz., 38:4 (1998), 559–563
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Iterative methods for the solution of nonlinear operator equations without the property of the regularity
Fundam. Prikl. Mat., 3:3 (1997), 685–692
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Linear approximation of the solutions of nonlinear operator equations
Zh. Vychisl. Mat. Mat. Fiz., 36:9 (1996), 6–12
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Iterative methods without saturation for solving degenerate
nonlinear operator equations
Dokl. Akad. Nauk, 344:1 (1995), 7–8
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Note on the regularizing properties of methods of conjugate directions
Zh. Vychisl. Mat. Mat. Fiz., 34:3 (1994), 481–483
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Iterative methods for solving nonlinear operator equations without
regularity. A new approach
Dokl. Akad. Nauk, 330:3 (1993), 282–284
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The problem of the convergence of the iteratively regularized Gauss–Newton method
Zh. Vychisl. Mat. Mat. Fiz., 32:9 (1992), 1503–1509
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On the theory of approximate methods for solving an ill-posed
abstract Cauchy problem
Dokl. Akad. Nauk SSSR, 312:4 (1990), 777–782
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Fast linear iterative algorithms of image restoration
Zh. Vychisl. Mat. Mat. Fiz., 28:6 (1988), 933–937
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Rough conjugate directions methods
Zh. Vychisl. Mat. Mat. Fiz., 27:12 (1987), 1763–1770
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Iterative regularizing algorithms for nonlinear problems
Zh. Vychisl. Mat. Mat. Fiz., 27:4 (1987), 617–621
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Remarks on the choice of regularization parameter from quasioptimality and relation tests
Zh. Vychisl. Mat. Mat. Fiz., 24:8 (1984), 1258–1259
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An asymptotic relation for the iteratively regularized Newton–Kantorovich method
Zh. Vychisl. Mat. Mat. Fiz., 23:1 (1983), 216–218
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Principle of the residual in the case of a perturbed operator for
general regularizing algorithms
Zh. Vychisl. Mat. Mat. Fiz., 22:4 (1982), 989–993
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Some nonstandard regularizing algorithms and their numerical realization
Zh. Vychisl. Mat. Mat. Fiz., 22:3 (1982), 532–539
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Equivalent transformations of variational inequalities and their use
Dokl. Akad. Nauk SSSR, 247:6 (1979), 1297–1300
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On the principle of iterative regularization
Zh. Vychisl. Mat. Mat. Fiz., 19:4 (1979), 1040–1043
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Optimal and quasi-optimal methods for the solution of linear problems that are generated by regularizing algorithms
Izv. Vyssh. Uchebn. Zaved. Mat., 1978, no. 11, 6–10
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Methods for the solution of monotone variational inequalities that are based on the principle of iterative regularization
Zh. Vychisl. Mat. Mat. Fiz., 17:6 (1977), 1350–1362
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A regularizing algorithm on the basis of the Newton–Kantorovič method for the solution of variational inequalities
Zh. Vychisl. Mat. Mat. Fiz., 16:6 (1976), 1397–1404
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The stability and domain of convergence of certain regularizing algorithms
Zh. Vychisl. Mat. Mat. Fiz., 16:1 (1976), 228–232
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Methods of stochastic approximation type for the solution of linear ill-posed problems
Sibirsk. Mat. Zh., 16:1 (1975), 12–18
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On the solution of variational inequalities
Dokl. Akad. Nauk SSSR, 219:5 (1974), 1038–1041
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A remark on a class of regularizing algorithms
Zh. Vychisl. Mat. Mat. Fiz., 13:6 (1973), 1596–1598
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The problem of constructing linear regularizing algorithms in Banach spaces
Zh. Vychisl. Mat. Mat. Fiz., 13:1 (1973), 204–210
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Difference methods of solving ill-posed Cauchy problems for evolution equations in a complex $B$-space
Differ. Uravn., 8:9 (1972), 1661–1668
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The solution by difference methods of an ill-posed Cauchy problem for a second order abstract differential equation
Differ. Uravn., 8:5 (1972), 881–890
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Difference schemes for the solution of ill-posed abstract Cauchy problems
Differ. Uravn., 7:10 (1971), 1876–1885
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Stabilization of solutions of linear differential equations in Hilbert space
Mat. Zametki, 9:4 (1971), 415–420
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Remarks on the Kupradze–Aleksidze method
Differ. Uravn., 6:7 (1970), 1298–1301
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On extending the principle of the residual
Zh. Vychisl. Mat. Mat. Fiz., 10:1 (1970), 210–213
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The construction of regularizing algorithms in the case of random noise
Dokl. Akad. Nauk SSSR, 189:2 (1969), 231–233
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Regularization algorithms for linear equations with unbounded operators
Dokl. Akad. Nauk SSSR, 183:1 (1968), 12–14
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Some properties of regularizing algorithms
Zh. Vychisl. Mat. Mat. Fiz., 8:2 (1968), 426–429
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The solution of some integral equations of the first kind by the method
of successive approximation
Zh. Vychisl. Mat. Mat. Fiz., 8:1 (1968), 181–185
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A general method of constructing regularizing algorithms for a linear incorrect equation in Hilbert space
Zh. Vychisl. Mat. Mat. Fiz., 7:3 (1967), 672–677
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A numerical method for solving Fredholm integral equations of the 1st kind
Zh. Vychisl. Mat. Mat. Fiz., 5:4 (1965), 744–749
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A method of solving “degenerate” and “almost degenerate” linear algebraic equations
Zh. Vychisl. Mat. Mat. Fiz., 3:6 (1963), 1113–1114
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The method of potentials and the numerical solution of Dirichlet' s problem for the Laplace equation
Zh. Vychisl. Mat. Mat. Fiz., 3:3 (1963), 574–580
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Correction to: “On the problem of linear approximation of solutions of nonlinear operator equations”
Zh. Vychisl. Mat. Mat. Fiz., 39:4 (1999), 704
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Numerical solution of ordinary and partial differential equation. Ed. L. Fox . Book Review
Zh. Vychisl. Mat. Mat. Fiz., 4:3 (1964), 615–617
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